Mutations E44D and V118I in the Reverse Transcriptase of HIV-1 Play Distinct Mechanistic Roles in Dual Resistance to AZT and 3TC
Bibliographic record
Abstract
Retroviral resistance to AZT and 3TC has been associated with two different mechanisms. The M184V mutation in the reverse transcriptase (RT) of the human immunodeficiency virus, type 1 (HIV-1) diminishes the incorporation of 3TC-monophosphate (3TC-MP), whereas AZT resistance-conferring mutations were shown to facilitate the phosphorolytic excision of incorporated AZT-MP in the presence of ATP. Both mechanisms show a certain degree of incompatibility; however, previous clinical data revealed that mutations E44D and V118I, when present in a background of classical AZT mutations (M41L, D67N, L210W, and T215Y), confer dual resistance to AZT and 3TC. We have purified RT enzymes that contain E44D and V118I either alone or in a background of different combinations of AZT mutations to study the underlying biochemical mechanisms. We found that enzymes containing E44D in a background of these latter mutations increase the efficiency of excision of 3TC-MP. Unexpectedly, V118I-containing enzymes show dramatic reductions in rates of incorporation of AZT-MP and 3TC-MP. The V118I mutant is also associated with diminished rates of ATP-dependent primer unblocking. The additional presence of mutations M41L, D67N, L210W, and T215Y can partially neutralize this deficit, which helps to explain the concurrent presence of these changes in resistant isolates. These biochemical data make clear that mutations E44D and V118I play distinct mechanistic roles in dual resistance to AZT and 3TC. Our findings are consistent with an increasing number of clinical studies suggesting that the V118I cluster constitutes a novel pathway for HIV resistance to multiple nucleotide analogue RT inhibitors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".